This report provides some basic description and visualization of the MetaLab function results.
The report is based on the function.csv/tsv.
Users can use this to quickly check the functional profile of the dataset.
Template version: 20211019
| Protein groups annotation | Number (percentage) |
|---|---|
| Protein groups in your sample | 6491 |
| Protein groups with COG annotation: | 6324 ( 97% ) |
| Unique COG accessions annotated: | 1052 |
| Protein groups with NOG annotation: | 6491 ( 100% ) |
| Unique NOG accessions annotated: | 3765 |
| Protein groups with KEGG ko annotation: | 5731 ( 88% ) |
| Protein groups with GO annotation: | 3287 ( 51% ) |
| Protein groups with EC annotation: | 3151 ( 49% ) |
| Protein groups with CAZy annotation: | 105 ( 2% ) |
| Meta/grouping info provided (Meta 1): | No meta information provided |
| Meta 2 not provided | |
| Meta 3 not provided | |
| Meta 4 not provided | |
| Meta 5 not provided |
The figure below displays the composition of COG categories in your dataset. Areas in the voronoi plot are based on summed proteinGroup intensities across all samples.
The figure below displays the composition of NOG categories in your dataset. Areas in the voronoi plot are based on summed proteinGroup intensities across all samples.
The figure below displays the composition of COG categories in each of your sample. Intensities in the bar plot are based on summed proteinGroup intensities corresponding to each category.
The figure below displays the composition of COG categories in each of your sample. Intensities in the bar plot are based on summed proteinGroup intensities corresponding to each category.
Similar to the COG summary, the figure below displays the composition of NOG categories in each of your sample.